Senior Data Scientist Annotator
7 dni temu
Data Scientist Annotator
On-site | Warsaw | Full-time | 3-month contract (with extension option)
is looking for experienced Data Scientist Annotators to join our Warsaw-based team. This position requires strong analytical and technical expertise, as well as the ability to transform raw data into actionable insights. You will play a key role in supporting engineers and business stakeholders with high-quality data annotation, elaboration, and analysis.
Responsibilities
- Conduct data annotation, elaboration, and analysis
- Generate synthetic data to support internal AI/ML model development
- Explore and propose business use cases for synthetic data across departments
- Support engineers in data-driven decision-making
- Prepare resources such as templates, dataset evaluations, and use case descriptions
- Execute data science tasks defined by project leads
- Design and improve ETL workflows for unstructured data
- Coordinate data annotation and ensure quality assurance using available resources
Requirements
- Proficiency in English and strong communication skills
- Strong business approach and ability to align data work with strategic goals
- Advanced knowledge of Python and SQL (experience with cloud data platforms is a plus)
- Proven experience in data science, including practical applications of machine learning models
- Experience solving business problems using AI tools in areas such as Finance, Marketing, Sales, or Support
- Technical knowledge of predictive and exploratory analytics, feature engineering, and generative AI for multimodal use cases
- Strong analytical mindset, accuracy, and attention to detail
- Ability to define tasks, coordinate projects, and manage annotation workflows
- Flexibility to adapt to evolving project processes
We offer
- On-site work in Warsaw (data security requirement, non-negotiable)
- Full-time position, 5 days/week
- 3-month contract with possible extension
- Opportunity to contribute to impactful, cutting-edge data projects
Apply now and be part of a professional, data-driven environment
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